Abstract

According to the difference of the modeling theories, the stock yield prediction models can be divided into two sorts. One is the traditional fluctuation rate prediction model based on statistical theory, and the other is the innovational prediction model based on theories such as NN, grey theory, support vector machines (SVM) and so on. In this article, we introduced these two models and their research actualities, and compared and analyzed the characters of these two sorts of models, and studied the problems existing in the concrete application of the stock yield prediction model in China, and put forward corresponding advices for the future development.

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